Randomized Placebo-Controlled Trial of Metformin for Adolescents With Polycystic Ovary Syndrome
Bibliographic record
Abstract
OBJECTIVE: To determine whether metformin or placebo could, in conjunction with healthy lifestyle counseling, decrease serum testosterone levels and related aberrations in adolescents with hyperandrogenism, hyperinsulinemia, and polycystic ovarian syndrome. DESIGN: Randomized, placebo-controlled, double-blind trial. SETTING: Pediatric university teaching hospital. PARTICIPANTS: Twenty-two adolescents aged 13 to 18 years with hyperinsulinemia and polycystic ovarian syndrome. INTERVENTION: Participants were randomly assigned to take a 12-week course of either metformin or placebo. MAIN OUTCOME MEASURES: Pretreatment and posttreatment oral glucose tolerance tests, fasting lipid profiles, and clinical measurements. RESULTS: There was a significant decline in mean serum testosterone concentration with metformin (-38.3 ng/dL) compared with placebo (-0.86 ng/dL) (95% confidence interval, -infinity to -0.29 for the mean difference between groups). At completion, the relative risk of menses was 2.50 times higher in the metformin group compared with the placebo (95% confidence interval, 1.12 to 5.58). Measures of insulin sensitivity, including insulin area under the curve and HOMA (homeostasis model assessment), demonstrated improvement only with metformin, but these did not reach statistical significance. High-density lipoprotein cholesterol levels increased by 6.98 mg/dL with metformin vs a decrease of -2.33 mg/dL with placebo (95% confidence interval, 0.78 to 18.23 for the mean difference between groups). There were no significant changes in body mass index, hirsutism, triglyceride levels, or total and low-density lipoprotein cholesterol levels. CONCLUSION: Metformin significantly lowered total testosterone concentrations, increased the likelihood of menses, and improved high-density lipoprotein cholesterol levels without affecting measures of insulin sensitivity or body weight.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".